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Cited by 294

The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.

Actor-Network Theory, organizations and critique: towards a politics of organizing

Alcadipani, Rafael, Hassard, John·2010·Organization

Abstract

In recent years the approach to social theory known as Actor-Network Theory (ANT) has been adopted within a range of social science fields. Despite its popularity, ANT is considered a controversial approach in that it appears to promote a sociological perspective that lacks substantive political critique. This is argued to be particularly true in ANT’s ‘translations’ in management and organization studies (MOS). In this article, we argue that the ‘ANT and After’ literature offers the potential to develop such a political critique. In particular we suggest it presents the opportunity to develop an approach that de-naturalizes organization(s), has the ability to deliver critical performativity, and at the same time offer a reflexive approach to management and organizational knowledge. Using organizational examples, we argue that ANT and After can offer insights relevant to the development of a critical perspective on MOS, notably through its advocacy of a ‘political ontology’ of organizing.

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Metadata

Authors
Alcadipani, R., & Hassard, J.
Venue
Organization
Published
2010-05-04
Volume
17
Issue
4
Pages
419-435
ISSN
  • 1350-5084 (ISSN-L)
  • 1461-7323
OpenAlex
W2097037193
Cited by
294
References
75
FWCI
59.47
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Actor-Network Theory, organizations and critique: towards a politics of organizing. https://app.cochat.ai/papers/10.1177/1350508410364441
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Alcadipani, R., & Hassard, J. (2010). Actor-Network Theory, organizations and critique: towards a politics of organizing. Organization. https://doi.org/10.1177/1350508410364441

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.